Adaptive Hierarchical Fuzzy controller for HVAC Sy
2016-08-23
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Abstract
Proper control for low energy buildings is more difficult than conventional buildings due to their complexity and sensitivity to operating conditions. Therefore, Suitable controller is essential for better performance. In this thesis, Adaptive Hierarchical Fuzzy control is used to control Heating, Ventilating and Air Conditioning (HVAC) System which is time varying nonlinear system. The proposed Controller is capable of maintaining comfort conditions under time varying thermal loads. Adaptive Hierarchical Fuzzy is consist of two levels; first fuzzy level is to control two varying feedback parameters (Air temperature and Air quality) and to make the controller adapt with these changes and make it easy to consider any energy from renewable energy sources; the second fuzzy level is to control the Error and Change of Error that comes from first level.
A hierarchical structure is used to reduce the number of rules, easily to extract fuzzy rules, to trim redundant informat
Proper control for low energy buildings is more difficult than conventional buildings due to their complexity and sensitivity to operating conditions. Therefore, Suitable controller is essential for better performance. In this thesis, Adaptive Hierarchical Fuzzy control is used to control Heating, Ventilating and Air Conditioning (HVAC) System which is time varying nonlinear system. The proposed Controller is capable of maintaining comfort conditions under time varying thermal loads. Adaptive Hierarchical Fuzzy is consist of two levels; first fuzzy level is to control two varying feedback parameters (Air temperature and Air quality) and to make the controller adapt with these changes and make it easy to consider any energy from renewable energy sources; the second fuzzy level is to control the Error and Change of Error that comes from first level.
A hierarchical structure is used to reduce the number of rules, easily to extract fuzzy rules, to trim redundant informat
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